Nuclear fusion energy requires generating more energy than it takes to power the reactors, developing reactor-proof building materials, keeping the reactor free from impurities, and restraining that fuel within it. Researchers from Princeton University and its Princeton Plasma Physics Laboratory have developed an AI model that could solve the requirement of restraining fuel in nuclear reactors. Their model proposes how to avoid plasma from becoming unstable and escaping the strong magnetic fields that hold it inside donut-shaped reactors.

Princeton researchers report that a new AI model has solved one of the major roadblocks to generating fusion energy.

There are many stumbling blocks on the racetrack to nuclear fusion, the reaction at the core of the sun that combines atoms to make energy: Generating more energy than it takes to power the reactors, developing reactor-proof building materials, keeping the reactor free from impurities, and restraining that fuel within it, to name a few.